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based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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activities, with specific responsibilities as outlined below: Conduct research on the development and application of spectroscopy methods such as VNIR, SWIR and XRF as alternatives to traditional methods
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protein expression experiments using eukaryotic or prokaryotic systems (HEK293, CHO, E. coli, etc.). Applying and optimizing transfection methods (chemical, electroporation) or viral infection techniques
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candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using various existing techniques. Knowledge in advanced structural characterizations will be valued
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of strategic metals and the development of fresh Lithium-ion Batteries & Supercapacitors Experience in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using
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composition will be determined using an elemental analyzer and mass spectrometer. Results will be expressed as δ13C and δ15N (‰) using PDB-Vienna as reference for 13C levels and air composition for 15N
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, remobilization, or metabolic flux analysis. Familiarity with methods such as gas exchange analysis, root imaging, metabolomics. Excellent analytical, organizational, and communication skills. Ability to work both
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phosphorus and/or carbon metabolism. Strong background in plant nutrient transport, remobilization, or metabolic flux analysis. Familiarity with methods such as gas exchange analysis, root imaging
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several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims